Triple

T13774702
Position Surface form Disambiguated ID Type / Status
Subject Josh Stewart E330974 entity
Predicate name P16 FINISHED
Object Josh Stewart E330974 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Josh Stewart | Statement: [Josh Stewart, name, Josh Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Stewart
Context triple: [Josh Stewart, name, Josh Stewart]
  • A. Josh Stewart chosen
    Josh Stewart is an American actor known for his roles in films like "The Collector" series and "The Dark Knight Rises" as well as television shows such as "Criminal Minds."
  • B. Justin Long
    Justin Long is an American actor known for his comedic and romantic comedy roles in films like "Dodgeball," "Accepted," and the "I'm a Mac" Apple commercials.
  • C. Kevin Stewart
    Kevin Stewart is a Scottish National Party politician who has served as a Member of the Scottish Parliament and held ministerial roles in the Scottish Government.
  • D. Jason Miller
    Jason Miller was an American actor and playwright best known for his Oscar-nominated role as Father Damien Karras in the classic horror film "The Exorcist."
  • E. Jason Miller
    Jason Miller is a software engineer best known as the creator of the lightweight JavaScript library Preact.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.